Text Classification
Transformers
ONNX
Safetensors
English
roberta
editlens
ai-detection
quantization
local-inference
text-embeddings-inference
Instructions to use CoderBak/editlens_roberta_modelkit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoderBak/editlens_roberta_modelkit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CoderBak/editlens_roberta_modelkit")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CoderBak/editlens_roberta_modelkit") model = AutoModelForSequenceClassification.from_pretrained("CoderBak/editlens_roberta_modelkit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| extra_gated_fields: | |
| First Name: text | |
| Last Name: text | |
| Institution: text | |
| Country: country | |
| How do you intend to use this model?: text | |
| I agree to use this model for non-commercial use ONLY: checkbox | |
| base_model: FacebookAI/roberta-large | |
| library_name: peft | |
| tags: | |
| - base_model:FacebookAI/roberta-large | |
| - ai_detection | |
| datasets: | |
| - pangram/editlens_iclr | |
| language: | |
| - en | |
| license: cc-by-nc-sa-4.0 | |
| # Model Card for editlens_roberta-large by Pangram | |
| This model is a `FacebookAI/roberta-large` base model finetuned for AI detection according to the techniques described in the EditLens paper by Thai et al. (ICLR 2026) | |
| ## Model Details | |
| - **Developed by:** Pangram | |
| - **Language(s) (NLP):** English | |
| - **License:** CC BY-NC-SA 4.0 | |
| - **Finetuned from model:** `FacebookAI/roberta-large` | |
| ### Resources | |
| - **Repository:** https://github.com/pangramlabs/EditLens | |
| - **Paper:** https://arxiv.org/abs/2510.03154 | |
| ## Citation | |
| **BibTeX:** | |
| ``` | |
| @misc{thai2025editlensquantifyingextentai, | |
| title={EditLens: Quantifying the Extent of AI Editing in Text}, | |
| author={Katherine Thai and Bradley Emi and Elyas Masrour and Mohit Iyyer}, | |
| year={2025}, | |
| eprint={2510.03154}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2510.03154}, | |
| } | |
| ``` | |
| ## Model Card Contact | |
| katherine@pangram.com |